Cybertrucks have been recalled. Photo courtesy of Tesla Motors

U.S. safety regulators on Thursday recalled virtually all Cybertrucks on the road, the eighth recall of the Tesla-made vehicles since deliveries to customers began just over a year ago.

The National Highway Traffic Safety Administration's recall, which covers more than 46,000 Cybertrucks, warned that an exterior panel that runs along the left and right side of the windshield can detach while driving, creating a dangerous road hazard for other drivers, increasing the risk of a crash.

The stainless steel strip, called a cant rail assembly, between the windshield and the roof on both sides, is bound to the truck’s assembly with a structural adhesive, the NHTSA report said. The remedy uses an adhesive that’s not been found to be vulnerable to “environmental embrittlement,” the NHTSA said, and includes additional reinforcements.

Tesla will replace the panel free of charge. Owner notification letters are expected to be mailed May 19, 2025.

The recall of 46,096 Cybertrucks covers all 2024 and 2025 model years, manufactured from November 13, 2023, to February 27, 2025. The NHTSA order says that Tesla became aware of the problem early this year.

Videos posted on social media showing people ripping the panels off of Cybertrucks with their hands have gone viral in recent days.

The Cybertruck, which Tesla began delivering to buyers in late 2023, has been recalled eight times in the past 15 months for safety problems, including once in November because a fault in an electric inverter can cause the drive wheels to lose power. Last April, the futuristic-looking trucks were recalled to fix acceleration pedals that can get stuck in the interior trim. Other recalls were related to windshield wipers and the display screen.

It's the latest setback for the Elon Musk-owned electric automaker, which has come under attack since President Donald Trump took office and empowered Musk to oversee a new Department of Government Efficiency that’s slashing government spending.

While no injuries have been reported, Tesla showrooms, vehicle lots, charging stations and privately owned cars have been targeted.

Prosecutors in Colorado charged a woman last month in connection with attacks on Tesla dealerships, including Molotov cocktails thrown at vehicles and the words “Nazi cars” spray-painted on a building.

And federal agents in South Carolina last week arrested a man they say set fire to Tesla charging stations near Charleston. An agent from the Bureau of Alcohol, Tobacco, Firearms and Explosives wrote in an affidavit that authorities found writings critical of the government and DOGE in his bedroom and wallet.

Even before the attacks ramped up in recent weeks, Tesla has been struggling, facing increased competition from rival electric vehicles, particularly out of China.

Though largely unaffected by Thursday's recall announcement, Tesla shares have plummeted 42% in 2025, reflecting newfound pessimism as sales crater around the globe.

With regard to Thursday's recall, Cybertruck owners may contact Tesla customer service at 1-877-798-3752 and the National Highway Traffic Safety Administration Vehicle Safety Hotline at 888-327-4236, or go to nhtsa.gov.

The Tesla recall is for 2023 Model 3 and Model Y vehicles. Getty Images

Tesla recalling more than 375,000 vehicles due to power steering issue

Tesla Talk

Tesla is recalling more than 375,000 vehicles due to a power steering issue.

The recall is for certain 2023 Model 3 and Model Y vehicles operating software prior to 2023.38.4, according to the National Highway Traffic Safety Administration.

The printed circuit board for the electronic power steering assist may become overstressed, causing a loss of power steering assist when the vehicle reaches a stop and then accelerates again, the agency said.

The loss of power could required more effort to control the car by drivers, particularly at low speeds, increasing the risk of a crash.

Tesla isn't aware of any crashes, injuries, or deaths related to the condition.

The electric vehicle maker headed by Elon Musk has released a free software update to address the issue.

Letters are expected to be sent to vehicle owners on March 25. Owners may contact Tesla customer service at 1-877-798-3752 or the NHTSA at 1-888-327-4236.

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”